| Parsec: Exploiting heterogeneity to enhance scalability G Bosilca, A Bouteiller, A Danalis, M Faverge, T Hérault, JJ Dongarra Computing in Science & Engineering 15 (6), 36-45, 2013 | 359 | 2013 |
| Flexible development of dense linear algebra algorithms on massively parallel architectures with DPLASMA G Bosilca, A Bouteiller, A Danalis, M Faverge, A Haidar, T Herault, ... 2011 IEEE International Symposium on Parallel and Distributed Processing …, 2011 | 228* | 2011 |
| QR factorization on a multicore node enhanced with multiple GPU accelerators E Agullo, C Augonnet, J Dongarra, M Faverge, H Ltaief, S Thibault, ... 2011 IEEE International Parallel & Distributed Processing Symposium, 932-943, 2011 | 141 | 2011 |
| Achieving high performance on supercomputers with a sequential task-based programming model E Agullo, O Aumage, M Faverge, N Furmento, F Pruvost, M Sergent, ... IEEE Transactions on Parallel and Distributed Systems, 2017 | 97 | 2017 |
| LU factorization for accelerator-based systems E Agullo, C Augonnet, J Dongarra, M Faverge, J Langou, H Ltaief, ... 2011 9th IEEE/ACS International Conference on Computer Systems and …, 2011 | 88 | 2011 |
| Hierarchical dag scheduling for hybrid distributed systems W Wu, A Bouteiller, G Bosilca, M Faverge, J Dongarra 2015 IEEE International Parallel and Distributed Processing Symposium, 156-165, 2015 | 82 | 2015 |
| Taking advantage of hybrid systems for sparse direct solvers via task-based runtimes X Lacoste, M Faverge, G Bosilca, P Ramet, S Thibault 2014 IEEE International Parallel & Distributed Processing Symposium …, 2014 | 70 | 2014 |
| Hierarchical QR factorization algorithms for multi-core clusters J Dongarra, M Faverge, T Herault, M Jacquelin, J Langou, Y Robert Parallel Computing 39 (4-5), 212-232, 2013 | 65 | 2013 |
| EZTrace: a generic framework for performance analysis F Trahay, F Rue, M Faverge, Y Ishikawa, R Namyst, J Dongarra 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2011 | 56 | 2011 |
| Achieving numerical accuracy and high performance using recursive tile LU factorization with partial pivoting J Dongarra, M Faverge, H Ltaief, P Luszczek Concurrency and Computation: Practice and Experience 26 (7), 1408-1431, 2014 | 50 | 2014 |
| Sparse supernodal solver using block low-rank compression: Design, performance and analysis G Pichon, E Darve, M Faverge, P Ramet, J Roman Journal of computational science 27, 255-270, 2018 | 44 | 2018 |
| LU factorization with partial pivoting for a multicore system with accelerators J Kurzak, P Luszczek, M Faverge, J Dongarra IEEE Transactions on Parallel and Distributed systems 24 (8), 1613-1621, 2012 | 39 | 2012 |
| A survey of recent developments in parallel implementations of Gaussian elimination S Donfack, J Dongarra, M Faverge, M Gates, J Kurzak, P Luszczek, ... Concurrency and Computation: Practice and Experience 27 (5), 1292-1309, 2015 | 34 | 2015 |
| High performance matrix inversion based on LU factorization for multicore architectures J Dongarra, M Faverge, H Ltaief, P Luszczek Proceedings of the 2011 ACM international workshop on Many task computing on …, 2011 | 34 | 2011 |
| Multithreading in the PLASMA Library J Kurzak, P Luszczek, A YarKhan, M Faverge, J Langou, H Bouwmeester, ... Handbook of Multi and Many-Core Processing: Architecture, Algorithms …, 2013 | 31 | 2013 |
| Distributed-memory task execution and dependence tracking within DAGuE and the DPLASMA project G Bosilca, A Bouteiller, A Danalis, M Faverge, H Haidar, T Herault, ... Innovative Computing Laboratory, University of Tennessee, Technical Report …, 2010 | 29 | 2010 |
| Sparse direct solvers with accelerators over DAG runtimes X Lacoste, P Ramet, M Faverge, Y Ichitaro, J Dongarra INRIA, 2012 | 24 | 2012 |
| Exploiting fine-grain parallelism in recursive LU factorization J Dongarra, M Faverge, H Ltaief, P Luszczek Applications, Tools and Techniques on the Road to Exascale Computing, 429-436, 2012 | 24 | 2012 |
| Reordering strategy for blocking optimization in sparse linear solvers G Pichon, M Faverge, P Ramet, J Roman SIAM Journal on Matrix Analysis and Applications 38 (1), 226-248, 2017 | 21 | 2017 |
| Achieving numerical accuracy and high performance using recursive tile LU factorization JJ Dongarra, M Faverge, H Ltaief, P Luszczek | 20 | 2011 |
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of ManchesterVerified email at icl.utk.edu
